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ESTIMATING THE MEAN OF INVERSE GAUSSIAN DISTRIB WTION WITH KNOWN COEFFICIENT OF VARIATION UNDER ENTROPY LOSS

Journal of Sciences, Islamic Republic of Iran
مقاله 11، دوره 8، شماره 1، 1997    اصل مقاله (237.58 K)
چکیده
An estimation problem of the mean µ of an inverse Gaussian distribution
IG(µ, C µ) with known coefficient of variation c is treated as a decision problem
with entropy loss function. A class of Bayes estimators is constructed, and
shown to include MRSE estimator as its closure. Two important members of
this class can easily be computed using continued fractions
آمار
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